Is there a general term for combining multiple shots into one more detailed image?
Asked 4/6/2016
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I'm looking for a broad term for techniques that combine multiple images of the same scene into a single result with equal or greater useful information in each region than any one source image alone. Examples would include focus stacking, HDR/exposure fusion, and super-resolution or multi-shot pixel-shift methods. I'm not looking for cloning or compositing from unrelated parts of the scene. Is there an established photography or computational-photography term for this category?
Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0
Photography Stack Exchange contributor
10y ago
2 Answers
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If you're looking for a grouping term, I don't think there is one that's used widespread or consistently, but personally I sometimes use stacking to cover these types of techniques.
I just wish there were a term that could also include panorama stitching, since the main logic behind nearly all of these types of algorithms is similar--vary one specific factor of interest (focus point, exposure, pixel placement, scene coverage, noise, etc.) among a group of member images to combine and create an enhanced single final image.
Originally by user27440. Source · Licensed CC BY-SA 4.0
user27440
10y ago
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There doesn’t seem to be one universally used photography term that cleanly covers all of these methods. In practice, people may loosely say stacking for some of them, but that’s not precise enough for every case.
The closest umbrella term suggested here is epsilon photography: a computational-photography approach where multiple images are captured with small variations in parameters such as exposure, focus, aperture, sensitivity, or viewpoint, then combined for greater post-capture flexibility or image quality.
More specific terms still apply within that umbrella:
- focus stacking for depth of field
- HDR or exposure fusion for dynamic range
- super-resolution for added spatial detail
So if you want one broad label, epsilon photography is probably the best fit, though it’s not especially common in everyday photographic usage.
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